E. Plotnikova
Impact in
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- Particle physics theoretical and experimental studies
- High-Energy Particle Collisions Research
- Quantum Chromodynamics and Particle Interactions
- Particle Detector Development and Performance
- Dark Matter and Cosmic Phenomena
- Neutrino Physics Research
- Black Holes and Theoretical Physics
- Astronomy and Astrophysics top 5%
- Cosmology and Gravitation Theories
Papers in
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- Particle physics theoretical and experimental studies 178
- High-Energy Particle Collisions Research 143
- Particle Detector Development and Performance 66
- Quantum Chromodynamics and Particle Interactions 66
- Dark Matter and Cosmic Phenomena 30
- Neutrino Physics Research 6
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- Cosmology and Gravitation Theories 15
E. Plotnikova
169 papers receiving 5.4k citations
E. Plotnikova's Hit Papers
Peers
Comparison fields: 5 of 78
- Nuclear and High Energy Physics 6.2k
- Astronomy and Astrophysics 1.0k
- Artificial Intelligence 322
- Radiation 46
- Computer Networks and Communications 125
Countries citing papers authored by E. Plotnikova
This map shows the geographic impact of E. Plotnikova's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by E. Plotnikova with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites E. Plotnikova more than expected).
Fields of papers citing papers by E. Plotnikova
This network shows the impact of papers produced by E. Plotnikova. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by E. Plotnikova. The network helps show where E. Plotnikova may publish in the future.
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All Works
Showing the 20 most-cited of 178 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Topological cell clustering in the ATLAS calorimeters and its performance in LHC Run 1 Hit paper breakdown → | 2017 | 352 |
| 2 | Luminosity determination in pp collisions at $$\sqrt{s}$$ s = 8 TeV using the ATLAS detector at the LHC Hit paper breakdown → | 2016 | 275 |
| 3 | 2016 | 225 | |
| 4 | 2017 | 222 | |
| 5 | 2014 | 196 | |
| 6 | 2016 | 186 | |
| 7 | 2018 | 179 | |
| 8 | 2016 | 150 | |
| 9 | 2017 | 143 | |
| 10 | 2015 | 132 | |
| 11 | 2016 | 122 | |
| 12 | 2018 | 122 | |
| 13 | 2016 | 111 | |
| 14 | 2020 | 90 | |
| 15 | 2015 | 87 | |
| 16 | 2016 | 84 | |
| 17 | 2019 | 83 | |
| 18 | 2016 | 81 | |
| 19 | 2016 | 81 | |
| 20 | 2017 | 81 |
About E. Plotnikova
E. Plotnikova is a scholar working on Nuclear and High Energy Physics, Astronomy and Astrophysics, Artificial Intelligence, Computer Networks and Communications and Information Systems and Management, having authored 178 papers that have together received 6.3k indexed citations. Recurring topics across this work include Particle physics theoretical and experimental studies (178 papers), High-Energy Particle Collisions Research (143 papers), Particle Detector Development and Performance (66 papers), Quantum Chromodynamics and Particle Interactions (66 papers), Dark Matter and Cosmic Phenomena (30 papers), Computational Physics and Python Applications (18 papers), Cosmology and Gravitation Theories (15 papers) and Neutrino Physics Research (6 papers). The work is most often cited by research in Nuclear and High Energy Physics (6.2k citations), Astronomy and Astrophysics (1.0k citations), Artificial Intelligence (322 citations), Radiation (46 citations) and Computer Networks and Communications (125 citations). E. Plotnikova has collaborated with scholars based in France, Switzerland and Australia. Their work appears in journals such as Journal of High Energy Physics, The European Physical Journal C, Physical review. D, Physics Letters B and Physical Review Letters.
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.